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Because of the intrinsic difficulty in determining distributions for wave periods, previous studies on wave period distribution
models have not taken nonlinearity into account and have not performed well in terms of describing and statistically analyzing
the probability density distribution of ocean waves. In this study, a statistical model of random waves is developed using
Stokes wave theory of water wave dynamics. In addition, a new nonlinear probability distribution function for the wave period
is presented with the parameters of spectral density width and nonlinear wave steepness, which is more reasonable as a physical
mechanism. The magnitude of wave steepness determines the intensity of the nonlinear effect, while the spectral width only
changes the energy distribution. The wave steepness is found to be an important parameter in terms of not only dynamics but
also statistics. The value of wave steepness reflects the degree that the wave period distribution skews from the Cauchy distribution,
and it also describes the variation in the distribution function, which resembles that of the wave surface elevation distribution
and wave height distribution. We found that the distribution curves skew leftward and upward as the wave steepness increases.
The wave period observations for the SZFII-1 buoy, made off the coast of Weihai (37°27.6′ N, 122°15.1′ E), China, are used
to verify the new distribution. The coefficient of the correlation between the new distribution and the buoy data at different
spectral widths (ν=0.3−0.5) is within the range of 0.968 6 to 0.991 7. In addition, the Longuet-Higgins (1975) and Sun (1988)
distributions and the new distribution presented in this work are compared. The validations and comparisons indicate that
the new nonlinear probability density distribution fits the buoy measurements better than the Longuet-Higgins and Sun distributions
do. We believe that adoption of the new wave period distribution would improve traditional statistical wave theory. 相似文献
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西太平洋暖池变异及其对西太平洋次表层海温场的影响 总被引：9，自引：0，他引：9
应用热带太平洋上层XBT温度资料,分析研究了西太平洋暖池区(0°～16°N,125°～145°E)上层海洋的变化特征以及与西太平洋次表层海温场之间的关系.研究表明,西太平洋暖池区的垂向温度存在显著的年际变化,尤其在次表层(120～200m)的变化最为明显.西太平洋暖池区的次表层冷暖信号明显早于西太平洋次表层的海温异常.分析发现,西太平洋暖池区的海温异常是导致整个西太平洋次表层海温场变异的关键区,当西太平洋暖池区的次表层冷暖信号加强时,3～4个月后西太平洋海温场出现大范围的冷暖异常. 相似文献
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通过对热带太平洋上层XBT温度资料分析,探讨了对厄尔尼诺(El Nino)事件发生起重要作用的西太平洋暖池区次表层海温变暖异常的变化规律,揭示了影响西太平洋暖池区次表层海温变暖异常的形成机制.分析表明:西太平洋暖池区的次表层海温异常变暖与赤道太平洋的北赤道流(10°N)的海温异常存在密切关系.在El Nino事件发生的前期,位于赤道中东太平洋的异常暖水沿北赤道流温跃层潜沉向西太平洋暖池区输送,在西太平洋暖池堆积并向赤道西太平洋扩展,当异常暖水达到一定强度,并在大气的强迫下,异常暖水沿温跃层东传至赤道中东太平洋并上浮于海面,最终导致El Nino事件的爆发.北赤道流的异常海温西传是导致西太平洋暖池区次表层海温异常的重要机制,是导致El Nino事件发生的关键. 相似文献
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Comparison of two wind algorithms of ENVISAT ASAR at high wind 总被引：1，自引：0，他引：1
Two wind algorithms of ENVISAT advanced synthetic aperture radar (ASAR), i. e. CMOD4 model from the European Space Agency (ESA) and CMOD IFR2 model from Quilfen et al., are compared in this paper. The wind direction is estimated from orientation of low and linear signatures in the ASAR imagery. The wind direction has inherently a 180° ambiguity since only a single ASAR image is used. The 180° ambiguity is eliminated by using the buoy data from the NOAA (National Oceanic and Atmospheric Administration) buoys moored in the Pacific. Wind speed is obtained with the two wind algorithms using both estimated wind direction and normalized radar cross section (NRCS). The retrieved wind results agree well with the data from Quikscat. The root mean square error (RMSE) of wind direction is 2.80? The RMSEs of wind speed from CMOD4 model and CMOD_IFR2 model are 1.09 m/s and 0.60 m/s, respectively. The results indicate that the CMOD_IFR2 model is slight better than CMOD4 model at high wind. 相似文献
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应用热带太平洋上层XBT温度资料,分析探讨了西太平洋暖池区次表层海温冷暖异常信号的变化规律,揭示了影响西太平洋暖池区次表层海温冷变异常的信号通道。分析表明,西太平洋暖池区的次表层海温异常变冷与太平洋北赤道流的海温冷异常信号西传有重要关系。北赤道流的海温异常冷(暖)信号是沿温跃层由赤道中东太平洋潜沉向西太平洋暖池区传播,与西太平洋次表层海温异常(冷)暖信号向赤道中东太平洋传播构成了热带海洋信号的气旋式"环流通道"。在这一"环流通道"中,北赤道流的海温异常信号西传是导致西太平洋暖池区及西太平洋次表层海温异常的重要机制,是影响厄尔尼诺(ElNino)和拉尼娜(LaNina)事件发生的关键。 相似文献
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This study deals with the development of statistical modeling for water wave surface elevation by using a method that combines a dynamic solution with random process statistics. Ocean wave data taken from four NOAA (National Oceanic and Atmospheric Administration) buoys moored in the northeast Pacific were used to validate the model. The results indicated that the nonlinear probability density distribution of ocean wave surface elevation derived from the model described the measurements much better than Gaussian distribution and Longuet-Higgins distribution. 相似文献
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北赤道流区海温异常与ENSO循环 总被引：14，自引：1，他引：14
应用热带太平洋上层XBT温度资料，分析探讨了西太平洋暖池区次表层海温冷暖异常信号的变化规律，揭示了影响西太平洋暖池区次表层海温冷暖异常信号的机制。分析表明，西太平洋暖池区的次表层海温异常冷暖与太平洋北赤道流的海温冷暖异常信号西传有重要关系。北赤道流的海温异常冷(暖)信号是沿温跃层由赤道中东太平洋潜沉向西太平洋暖池区传播，对暖池区域次表层海温场产生重要影响。这一传播过程与西太平洋次表层海温异常暖(冷)信号向赤道中东太平洋传播，构成了热带海洋信号的气旋式“信号通道”。在这一“信号通道”中，北赤道流的海温异常信号西传是导致西太平洋暖池区及西太平洋次表层海温异常的重要机制，是影响El Nifio和La Nifia事件发生的关键。 相似文献
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